Artificial Intelligence

This article briefly discusses the roles that AI can play in climate change mitigation, adaptation, and resilience. Departing from a presentation on how AI can be used to tackle climate change, it presents how AI use has been embedded in sustainable agendas and how TEMA is part of the effort to explore the full potential of this technology.

In the past decade, we have witnessed spectacular breakthroughs achieved by deep learning in various applied and scientific domains. Despite their empirical success, neural networks are notorious for their black-box nature. Due to their inherent complexity, their inner workings are not readily comprehensible to human users. The emerging field of explainable artificial intelligence (XAI) aims to make the decision-making of such opaque models more transparent, improving trust and usefulness for human users. Meeting explainability standards has just become a legal requirement, in particular for high-stake applications, under the EU AI Act. In the TEMA project, we aim to employ such methods in the context of natural disaster management.